• 제목/요약/키워드: Degradation model

검색결과 1,610건 처리시간 0.04초

Local tissue effects of various barrier membranes in a rat subcutaneous model

  • Naenni, Nadja;Lim, Hyun-Chang;Strauss, Franz-Josef;Jung, Ronald E.;Hammerle, Christoph H.F.;Thoma, Daniel S.
    • Journal of Periodontal and Implant Science
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    • 제50권5호
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    • pp.327-339
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    • 2020
  • Purpose: The purpose of this study was to examine the local tissue reactions associated with 3 different poly(lactic-co-glycolic acid) (PLGA) prototype membranes and to compare them to the reactions associated with commercially available resorbable membranes in rats. Methods: Seven different membranes-3 synthetic PLGA prototypes (T1, T2, and T3) and 4 commercially available membranes (a PLGA membrane, a poly[lactic acid] membrane, a native collagen membrane, and a cross-linked collagen membrane)-were randomly inserted into 6 unconnected subcutaneous pouches in the backs of 42 rats. The animals were sacrificed at 4, 13, and 26 weeks. Descriptive histologic and histomorphometric assessments were performed to evaluate membrane degradation, visibility, tissue integration, tissue ingrowth, neovascularization, encapsulation, and inflammation. Means and standard deviations were calculated. Results: The histological analysis revealed complete integration and tissue ingrowth of PLGA prototype T1 at 26 weeks. In contrast, the T2 and T3 prototypes displayed slight to moderate integration and tissue ingrowth regardless of time point. The degradation patterns of the 3 synthetic prototypes were similar at 4 and 13 weeks, but differed at 26 weeks. T1 showed marked degradation at 26 weeks, whereas T2 and T3 displayed moderate degradation. Inflammatory cells were present in all 3 prototype membranes at all time points, and these membranes did not meaningfully differ from commercially available membranes with regard to the extent of inflammatory cell infiltration. Conclusions: The 3 PLGA prototypes, particularly T1, induced favorable tissue integration, exhibited a similar degradation rate to native collagen membranes, and elicited a similar inflammatory response to commercially available non-cross-linked resorbable membranes. The intensity of inflammation associated with degradable dental membranes appears to relate to their degradation kinetics, irrespective of their material composition.

과망간산칼륨을 이용한 KP의 새로운 표백법(제3보) -모델화합물 실험에서 Oxalic acid 첨가의 평가- (New Bleaching Method for KP with Permanganate(III) -Evaluation of Role of Oxalic Acid as a Acid Catalyst and a Reductant on the Permanganate Oxidation with Phenolic Model Compounds-)

  • ;윤승락
    • 펄프종이기술
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    • 제33권1호
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    • pp.73-79
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    • 2001
  • Stricter environmental demands have increased the need to replace conventional C/D bleaching sequence by chlorine-free sequence. Permanganate is well known as a powerful oxidant and have been used industrially in variable fields. However, it has considered to be difficult to use permanganate as a bleaching reagent because of its strong oxidative effect decreasing the viscosity of pulps extremely. We have tried to use permanganate as a bleaching reagent for KP under the mild condition and it was clear that pernanganate oxidized lignin remained in pulps selectively and increased pulp brightness decreasing K number of pulps with small degradation of cellulose. We have employed the neutral condition in the permanganate bleaching process in this study. In this case, permanganate was converted to manganese dioxide after bleaching reaction. The manganese dioxide is remained in the treated pulp fibers because of its insolublity in water. So it was required to reduction the manganese oxide to manganese ion by using reductants with acid. In this paper, we proposed to use oxalic acid as a reducing reagent converting manganese oxide to manganese ion after bleaching reaction. Oxalic acid plays the role as a reductant and a acid, so post-treatment after bleaching became to be easy by using oxalic acid. On the study using lignin model compounds, it was clear that permaganate react with phenols firstly, after that oxalic acid reduce the manganese oxide to manganese ion in the mixture of permanganate, phenols and oxalic acid. Several lignin model compounds ($\textit{p}$-hydroxybenzaldehyde, vanillin, syringaldehyde, veratraldehyde) are selected to elucidate the effect of substituents on reaction rate and its mechanism with permanganate including oxalic acid in this study. Except for veratraldehyde, the rate of oxidative degradation of phenolic compounds by permanganate with oxalic acid are higher than neutral condition. Especially, the degradation rate of $\textit{p}$-hydroxybenzaldehyde are strongly dependent on pH of reaction mixture. On the other hand, the degradation rate of veratraldehyde are decreased with decreasing pH and main degradation product is veratric acid. This result indicate that pH of bleaching liquor should be kept over 2 to degrade of non-phenolic lignin in the pulps effectively in permanganate bleaching.

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GOCI-II 태양광 보정시스템을 활용한 가시 채널 복사 보정 개선 및 센서 안정성 분석 (GOCI-IIVisible Radiometric Calibration Using Solar Radiance Observations and Sensor Stability Analysis)

  • 김민상;박명숙;안재현;강금실
    • 대한원격탐사학회지
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    • 제39권6_2호
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    • pp.1541-1551
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    • 2023
  • 해색위성 원격탐사에서 광학센서에서 측정된 전자기 시그날을 태양광 복사휘도로 산출하는 것은 해양 환경 모니터링의 시작이 되는 중요 단계이다. 일반적으로 광학센서가 임무 기간 수많은 촬영을 하면서 감쇄가 일반적이며 이로 인해 발생하는 복사 보정의 불확도는 해수원격반사도, 엽록소-a 농도, 유색용존유기물 등 최종 산출물에 영향을 미치기 때문에, 국제적으로 해색위성의 임무기간 중 자료 연속성을 위한 복사보정의 중요성을 강조해 왔다. 본 연구는 Geostationary Ocean Color Imager-II (GOCI-II) 위성의 지속적인 품질과 정확성을 확보하기 위해 GOCI-II의 복사 보정 알고리즘을 개선 방법을 제시한다. GOCI-II는 궤도상 복사 보정 장치인 태양광 확산기(Solar Diffuser, SD)를 사용하여 gain을 지속적으로 측정하였다. 시계열 분석 결과 gain이 방위각에 따라 계절적 변동을 보임과 동시에 센서의 노후화 가능성을 고려해야 함을 확인하였다. 본 연구에서는 방위각 보정 모델을 도입하여 계절 주기성을 제거하였고, 센서 감쇄 보정 모델을 통해 복사 이득의 비선형적 추세를 산출하였다. 본 연구에서 개선된 복사 보정 알고리즘을 적용하여 대기 최상층(Top of Atmosphere, TOA) 복사휘도의 스펙트럼에 미치는 영향을 확인하였고, 이는 GOCI-II 데이터의 장기적인 안정성 확보를 통해 신뢰성 있는 위성 산출물을 제공함으로써 장기간 트렌드 분석 및 해양 환경 모니터링에 기여할 것으로 기대된다.

열적활성화된 과황산에 의한 염화페놀의 산화분해특성 연구 (A Study on Oxidative Degradation of Chlorophenols by Heat Activated Persulfate)

  • 손지민;권희원;황인성;김정진;김영훈
    • 한국환경과학회지
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    • 제29권1호
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    • pp.69-77
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    • 2020
  • Oxidative degradation of phenol, three monochlorophenols (2-chlorophenol, 2-CP; 3-chlorophenol, 3-CP; 4-chlorophenol, 4-CP), four dichlorophenols (2,3-dichlorophenol, 2,3-DCP; 2,4-dichlorophenol, 2,4-DCP; 2,5-dichlorophenol, 2,5-DCP; 2,6-dichlorophenol, 2,6-DCP), and two trichlorophenols (2,4,5-trichlorophenol, 2,4,5-TCP; 2,4,6-trichlorophenol, 2,4,6-TCP) was conducted with heat activated persulfate. As the number of chlorinations increased, the reaction rate also increased. The reaction rate was relatively well fitted to the zero-order kinetic model, rather than the pseudo-first order kinetic model for the reactions at 60 ℃, which can be explained by insufficient activation of the persulfate at 60 ℃, and the oxidation reaction of 2,4,6-TCP at 70 ℃ was relatively well fitted to the pseudo-first order kinetic model. The oxidation reaction rate generally increased with increase of persulfate concentration in the solution. 2,6-dichloro-2,5-cyclohexadiene-1,4-dione was found as a degradation product in a GC/MS analysis. This compound is a non-aromatic compound, and one chlorine was removed. This result is similar to the result of previous studies. The current study proved that heat activated persulfate activation could be an alternative remediation technology for phenol and chlorophenols in soil and groundwater.

실험과 계산을 통한 에폭시 계열 내화도료의 열분해에 관한 연구 (Experimental and Numerical Study of the Thermal Decomposition of an Epoxy-based Intumescent Coating)

  • 김양균
    • 한국화재소방학회논문지
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    • 제30권1호
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    • pp.31-36
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    • 2016
  • 본 연구는 에폭시 계열 내화 도료의 열분해 특성을 파악하기 위해 열중량분석과 수치해석을 동시에 수행하였다. 에폭시 계열 내화 도료의 질량 감소 양상을 수치적으로 구현하기 위한 계산 모델이 소개되었으며, 계산 모델은 내화 도료의 여러 열분해과정을 단순화하여 4 단계의 순차적인 열분해 형태로 만들었다. 반응 속도는 Arrhenious 형태로 모델 되었고, 열중량분석을 통해 획득된 열분해 현상을 수치적으로 모사하기 위하여 화학 반응 매개변수들이 최적화되었다. 실험 결과 두 단계(two-step)와 세 단계(three-step)의 급격한 질량 감소가 질소와 공기 분위기에서 각각 나타났다. 또한 도료가 공기 분위기에 노출되었을 때 산소의 참여로 발생하는 복합적인 화학 반응들이 내화도료의 안정화를 도와 $200{\sim}500^{\circ}C$ 범위에서 질량 감소율을 낮추었다. 수치해석 결과는 실험과 비교하여 전체적으로 잘 일치하였으며 수치 모델에 포함되지 않은 $800^{\circ}C$ 이후를 제외하면 3% 미만의 오차를 보였다.

Seismic behaviors of ring beams joints of steel tube-reinforced concrete column structure

  • Zhang, Yingying;Pei, Jianing;Huang, Yuan;Lei, Ke;Song, Jie;Zhang, Qilin
    • Steel and Composite Structures
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    • 제27권4호
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    • pp.417-426
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    • 2018
  • This paper presents the seismic behaviors and restoring force model of ring beam joints of steel tube-reinforced concrete column structure under cyclic loading. First, the main failure mode, ultimate bearing capacity, stiffness degradation and energy dissipation capacity are studied. Then, the effects of concrete grade, steel grade, reinforcement ratio and radius-to-width ratios are discussed. Finally, the restoring force model is proposed. Results show that the ring beam joints of steel tube-reinforced concrete column structure performs good seismic performances. With concrete grade increasing, the ultimate bearing capacity and energy dissipation capacity increase, while the stiffness degradation rates increases slightly. When the radius-width ratio is 2, with reinforcement ratio increasing, the ultimate bearing capacity decreases. However, when the radius-to-width ratios are 3, with reinforcement ratio increasing, the ultimate bearing capacity increases. With radius-to-width ratios increasing, the ultimate bearing capacity decreases slightly and the stiffness degradation rate increases, but the energy dissipation capacity increases slightly.

항공엔진 열화데이터 기반 잔여수명 예측력 향상을 위한 데이터 전처리 방법 연구 (A study on Data Preprocessing for Developing Remaining Useful Life Predictions based on Stochastic Degradation Models Using Air Craft Engine Data)

  • 윤연아;정진형;임준형;장태우;김용수
    • 산업경영시스템학회지
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    • 제43권2호
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    • pp.48-55
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    • 2020
  • Recently, a study of prognosis and health management (PHM) was conducted to diagnose failure and predict the life of air craft engine parts using sensor data. PHM is a framework that provides individualized solutions for managing system health. This study predicted the remaining useful life (RUL) of aeroengine using degradation data collected by sensors provided by the IEEE 2008 PHM Conference Challenge. There are 218 engine sensor data that has initial wear and production deviations. It was difficult to determine the characteristics of the engine parts since the system and domain-specific information was not provided. Each engine has a different cycle, making it difficult to use time series models. Therefore, this analysis was performed using machine learning algorithms rather than statistical time series models. The machine learning algorithms used were a random forest, gradient boost tree analysis and XG boost. A sliding window was applied to develop RUL predictions. We compared model performance before and after applying the sliding window, and proposed a data preprocessing method to develop RUL predictions. The model was evaluated by R-square scores and root mean squares error (RMSE). It was shown that the XG boost model of the random split method using the sliding window preprocessing approach has the best predictive performance.